Performance evaluation built from the record of work.

The HR platform where continuous feedback guides development and results, while feeding AI-drafted performance reviews.

The problem

Once a year, your leaders reconstruct twelve months of work from memory.

And your people wait just as long to hear how they're doing.

For leaders

  • Recency wins

    What happened in the last quarter counts. What happened in the first three has faded.

  • Hours, not insight

    Every leader writes from scratch, for every report, against the same deadline.

  • Outcomes nobody can defend

    People cannot see the evidence behind their rating. Leaders cannot fully stand behind it.

  • Disconnected from delivery

    The evaluation rarely reflects what the company actually shipped, fixed or won that year.

For people

  • Feedback arrives too late

    Once a year, after the work is done, when it can no longer change anything.

  • Development plans on paper

    Written at the review, forgotten by spring. Nothing connects them to the work that follows.

  • Skills nobody can see

    People don't know how colleagues see their core and technical skills, so they can't act on it.

  • Help nobody counts

    The people who develop others most leave no trace in anyone's evaluation.

A year of evidence already exists — in chat, tickets, code, documents and meetings. No leader has time to read it, so the form is filled from recall at the deadline. Better forms and better rating scales don't change where the evidence lives.

The shift

Evaluation should read the record of work, not ask people to recall it.

Nextdot turns the work a team already does — and the conversation around it — into evidence that builds all year. That evidence guides each person's development while the work happens, and drafts the evaluation when the cycle ends. The decision stays with people.

High-performing teams are built by people who develop while doing the work, not at year-end. The evaluation is the record of that development — not a substitute for it.

We call each piece of evidence a dot

Work worth talking about — time-bound, owned by whoever's doing it, open for conversation while it happens. Each dot feeds two things at once: how the person is developing now, and the evaluation drafted later.

How it works

Six steps, and the loop feeds itself.

  1. 1Connect the tools

    Chat, tickets, code, documents, meeting notes.

  2. 2Work becomes evidence

    Work items and the discussion around them become dots.

  3. 3People claim and curate

    Each person keeps what's theirs and removes what isn't.

  4. 4Feedback guides the work

    Given in Nextdot or in the tools, while the work happens. Each person sees how they're developing as they go.

  5. 5AI drafts the evaluation

    Pre-filled per dimension of your own framework.

  6. 6A leader signs

    Or writes their own. Nothing is final until signed.

The next cycle begins with a year of evidence already on record.

The import

Start from what already exists.

  1. 01

    Connect the tools your teams already use. Twelve months of work come in on day one.

  2. 02

    Work items and the discussion around them arrive as dots — anonymous until the person they belong to claims them.

  3. 03

    Each person keeps or removes what's theirs. Only what they keep counts.

Chat

  • Microsoft Teams
  • Slack
  • Google Chat
  • Mattermost
  • Webex
  • Discord

Email

  • Gmail
  • Outlook

Tickets & work management

  • Jira
  • Jira Data Center
  • Linear
  • Asana
  • ClickUp
  • Monday
  • Trello
  • Basecamp
  • Shortcut
  • Pivotal Tracker
  • Wrike
  • Teamwork
  • Smartsheet
  • Adobe Workfront
  • Microsoft Planner
  • Productboard

Code & delivery

  • GitHub
  • GitLab
  • Bitbucket
  • Azure DevOps
  • Gerrit

Documents & knowledge

  • Google Drive
  • Google Docs
  • Google Sheets
  • Google Slides
  • OneDrive for Business
  • SharePoint Online
  • Microsoft Word
  • Microsoft Excel
  • Microsoft PowerPoint
  • OneNote
  • Confluence
  • Confluence Data Center
  • Notion
  • Coda
  • Slab
  • Outline
  • Dropbox
  • Box

Meetings & recordings

  • Zoom
  • Google Meet
  • Fathom
  • Fireflies
  • Grain
  • Gong
  • Read.ai
  • tl;dv
  • Granola
  • Avoma
  • Fellow
  • Circleback

Design & whiteboards

  • Figma
  • FigJam
  • Miro
  • Mural

Customer conversations

  • Zendesk
  • Intercom
  • Freshdesk
  • Front
  • Help Scout
  • Zoho Desk

Sales work

  • HubSpot
  • Salesforce
  • Pipedrive
  • Attio
  • Close
  • Zoho CRM
  • Microsoft Dynamics 365

Incidents & operations

  • PagerDuty
  • Incident.io
  • Rootly
  • ServiceNow

The evaluation

AI-drafted, human-signed.

  1. 01

    The draft is pre-filled per dimension of your own performance framework, from the evidence on record.

  2. 02

    Every dimension shows how much evidence stands behind it, so a leader knows where to look before signing.

  3. 03

    A leader signs the draft as their own — or writes their own evaluation instead.

  4. 04

    The person sees the same evidence their leader sees.

Dimensions follow your own framework. These are illustrative.

Development

Development that doesn't wait for the review.

  1. 01

    A dot is something you're doing that's worth talking about — and it shows how you're growing, while it happens.

  2. 02

    Feedback lands on the dot while the work moves — from colleagues and leaders, in Nextdot or in the tools — not months later.

  3. 03

    Your Feedback Observations show how colleagues see your core and technical skills, and how your own feedback helps others. Updated all year.

  4. 04

    1:1 check-ins and a private development assistant help you structure your own development from that evidence. No one else sees the assistant conversations.

Performance and development

One record, two outcomes.

For the organization

A continuous, AI-drafted evaluation signed by a leader, with goals (OKRs) as a second measure of performance.

For the person

How colleagues see their core and technical skills, and how their own feedback helps others — updated all year through their Feedback Observations report, 1:1 check-ins and a private development assistant.

For leadership

Feedback quality — actionable and constructive — is measured for everyone. Leadership sees who contributes most to others' development, by team and role, and how that changes over time; high contributors gain evidence for a leadership path.

Drills down to the record. Aggregated by team and job role for leadership, with trends. Values illustrative.

Control

People decide.

Nothing is final without a signature.
AI drafts. A leader signs the draft as their own, or writes their own evaluation instead. Either way, a person decides.
People curate their own evidence.
What appears in an evaluation is what the person chose to keep. Nothing is attached to them without their say.
Assistant conversations stay private.
The development assistant belongs to the person. No one else in the organization sees those conversations.

At scale

Ready for a large organization.

  • Roles at every level

    Organization and team administration, with reporting lines defined once and respected on every screen.

  • Your own framework

    Core skills and evaluation dimensions from your performance framework; technical skills per job role, maintained by your own people.

  • Import once, then continuous

    After the first import, new work keeps arriving as evidence and people are prompted to keep or remove it.

  • Guided setup

    We set it up with you: connecting the tools, defining the framework, running the first cycle.

Pricing

For teams that want to start today. Larger organization? Speak to sales for guided setup and pricing.

Free 30-day trial
€20€10

per user, billed monthly

  • Unlimited dots and feedback
  • Work-history import from your tools
  • AI-drafted evaluations, signed by a leader
  • Your own performance framework; technical skills per job role
  • Feedback Observations report
  • 1:1 check-ins and a private development assistant
  • Goals (OKRs)
  • Integrations: Microsoft Teams, Slack, Jira, GitHub and more
  • ISO 27001 certified · Built to meet GDPR requirements
  • Basic SLA support
Start free trial

The easiest way to judge it is on your own data.

Happy to show it running on one team's tools — twelve months of work, your framework, your people.